NETWORK ARCHITECTURE TO IDENTIFY SPATIAL KNOWLEDGE FOR DENGUE

Recent developments in informationtechnology have enabled collection and processing of vast amounts of personaldata, business data and spatial data. It has been widely recognized thatspatial data analysis capabilities have not kept up with the need for analyzingthe increasingly large volumes of geographic data of various themes that arecurrently being collected and archived. Our study is carried out on the way toprovide the mission-goal strategy (requirements) to predict the disaster. Theco-location rules of spatial data mining are proved to be appropriate to designnuggets for disaster identification and the state-of-the-art and emergingscientific applications require fast access of large quantities of data. Hereboth resources and data are often distributed in a wide area networks withcomponents administrated locally and independently, a framework has beensuggested for the above. Our contribution in this paper is to design networkarchitecture for disaster identification

SPATIAL MINING SYSTEM FOR DISASTER MANAGEMENT

Information Systems enable us to capture up to date effects due to disaster .It has been widely recognized that spatial data analysis capabilities have not kept up with the need for analyzing the increasingly large volumes of geographic data of various themes that are currently being collected and archived. Our analysis is on disaster management through  spatial Maps. Intelligent application algorithms ideal for finding the rules and unknown information from the vast quantities of computer data. The Intelligence system is to obtain and process the data, to interpret the data, and to design the algorithms for decision makers (Health Companion) as a basis for action. Spatial Map for disaster identification is designed. The Intelligence in each of these algorithms are provided the point and multi-point decision making system to capacitive for evaluation of spreading the dengue. Our contribution in this paper is to design Spatial Maps for Dengue